Last data update: 2014.03.03
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R: Correlated Topic Model
Correlated Topic Model
Description
Estimate a CTM model using for example the VEM algorithm.
Usage
CTM(x, k, method = "VEM", control = NULL, model = NULL, ...)
Arguments
x |
Object of class "DocumentTermMatrix" with
term-frequency weighting or an object coercible to a
"simple_triplet_matrix" with integer entries.
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k |
Integer; number of topics.
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method |
The method to be used for fitting; currently only
method = "VEM" is supported.
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control |
A named list of the control parameters for estimation
or an object of class "CTM_VEMcontrol" .
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model |
Object of class "CTM" for initialization.
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... |
Currently not used.
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Details
The C code for CTM from David M. Blei and co-authors is used to
estimate and fit a correlated topic model.
Value
CTM() returns an object of class
"CTM" .
Author(s)
Bettina Gruen
References
Blei D.M., Lafferty J.D. (2007).
A Correlated Topic Model of Science.
The Annals of Applied Statistics, 1(1), 17–35.
See Also
"CTM_VEMcontrol"
Examples
data("AssociatedPress", package = "topicmodels")
ctm <- CTM(AssociatedPress[1:20,], k = 2)
Results
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